History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"plot"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 973 | 2026-02-03 04:19:02 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 972 | 2026-01-30 09:40:38 | plot | 1 | 13983 | 15 | 0.483 | 28950.3 |
| 971 | 2026-01-28 18:13:06 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 970 | 2026-01-24 06:59:05 | plot | 1 | 13983 | 15 | 0.283 | 49409.9 |
| 969 | 2026-01-22 20:29:15 | plot | 1 | 13983 | 15 | 0.856 | 16335.3 |
| 968 | 2026-01-22 02:18:45 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 967 | 2026-01-21 21:59:52 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 966 | 2026-01-21 21:36:09 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 965 | 2026-01-17 20:08:40 | plot | 1 | 13983 | 15 | 0.623 | 22444.6 |
| 964 | 2026-01-17 19:53:39 | plot | 1 | 13983 | 15 | 1.360 | 10281.6 |
| 963 | 2026-01-15 03:14:16 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 962 | 2026-01-12 10:58:45 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 961 | 2026-01-11 03:23:12 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 960 | 2026-01-06 18:52:16 | plot | 1 | 13983 | 15 | 0.500 | 27966.0 |
| 959 | 2026-01-04 12:54:31 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 958 | 2026-01-03 13:31:07 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 957 | 2026-01-02 15:38:58 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 956 | 2025-12-30 11:17:30 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 955 | 2025-12-29 13:44:21 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 954 | 2025-12-28 22:42:30 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 953 | 2025-12-27 01:50:03 | plot | 2 | 29872 | 232 | 0.873 | 34217.6 |
| 952 | 2025-12-26 20:46:13 | plot | 2 | 29872 | 232 | 0.936 | 31914.5 |
| 951 | 2025-12-26 18:39:09 | plot | 2 | 29872 | 232 | 0.890 | 33564.0 |
| 950 | 2025-12-26 16:35:51 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 949 | 2025-12-26 05:31:55 | plot | 1 | 13983 | 15 | 0.500 | 27966.0 |
| 948 | 2025-12-23 18:58:32 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 947 | 2025-12-22 16:44:39 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 946 | 2025-12-20 15:49:30 | plot | 1 | 13983 | 15 | 1.203 | 11623.4 |
| 945 | 2025-12-14 14:27:39 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 944 | 2025-12-10 00:21:32 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 943 | 2025-12-09 18:26:16 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 942 | 2025-12-04 21:35:40 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 941 | 2025-12-03 22:24:10 | plot | 2 | 29872 | 232 | 0.923 | 32364.0 |
| 940 | 2025-11-27 11:54:27 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 939 | 2025-11-27 01:28:26 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 938 | 2025-11-24 02:58:42 | plot | 1 | 13983 | 15 | 0.300 | 46610.0 |
| 937 | 2025-11-22 14:29:58 | plot | 1 | 13983 | 15 | 0.486 | 28771.6 |
| 936 | 2025-11-21 18:03:22 | plot | 2 | 29872 | 232 | 1.893 | 15780.2 |
| 935 | 2025-11-21 16:37:37 | plot | 1 | 13983 | 15 | 0.450 | 31073.3 |
| 934 | 2025-11-20 20:28:10 | plot | 2 | 29872 | 232 | 0.873 | 34217.6 |
| 933 | 2025-11-20 04:24:06 | plot | 2 | 29872 | 232 | 0.830 | 35990.4 |
| 932 | 2025-11-19 21:28:12 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 931 | 2025-11-19 01:37:10 | plot | 2 | 29872 | 232 | 0.796 | 37527.6 |
| 930 | 2025-11-18 06:32:28 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 929 | 2025-11-15 00:37:38 | plot | 1 | 13983 | 15 | 0.253 | 55268.8 |
| 928 | 2025-11-14 09:34:10 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 927 | 2025-11-14 08:57:37 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 926 | 2025-11-13 16:36:56 | plot | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 925 | 2025-11-11 09:19:16 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 924 | 2025-11-11 05:36:46 | plot | 2 | 29872 | 232 | 0.750 | 39829.3 |
| 923 | 2025-11-11 05:23:32 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 922 | 2025-11-11 04:44:08 | plot | 2 | 29872 | 232 | 0.830 | 35990.4 |
| 921 | 2025-11-11 01:59:56 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 920 | 2025-11-10 20:28:27 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 919 | 2025-11-10 19:50:58 | plot | 2 | 29872 | 232 | 0.783 | 38150.7 |
| 918 | 2025-11-10 19:05:27 | plot | 2 | 29872 | 232 | 0.750 | 39829.3 |
| 917 | 2025-11-09 23:38:06 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 916 | 2025-11-09 07:07:59 | plot | 2 | 29872 | 232 | 0.766 | 38997.4 |
| 915 | 2025-11-08 14:36:59 | plot | 2 | 29872 | 232 | 0.860 | 34734.9 |
| 914 | 2025-11-08 03:06:45 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 913 | 2025-11-01 01:04:38 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 912 | 2025-10-25 06:14:54 | plot | 1 | 13983 | 15 | 0.436 | 32071.1 |
| 911 | 2025-10-25 02:39:55 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 910 | 2025-10-24 14:14:43 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 909 | 2025-10-23 04:24:45 | plot | 1 | 13983 | 15 | 1.516 | 9223.6 |
| 908 | 2025-10-21 06:41:35 | plot | 1 | 13983 | 15 | 1.050 | 13317.1 |
| 907 | 2025-10-20 04:12:58 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 906 | 2025-10-18 05:53:11 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 905 | 2025-10-08 05:54:00 | plot | 1 | 13983 | 15 | 0.236 | 59250.0 |
| 904 | 2025-10-06 06:46:22 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 903 | 2025-09-30 05:54:24 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 902 | 2025-09-29 04:20:05 | plot | 2 | 29872 | 232 | 1.876 | 15923.2 |
| 901 | 2025-09-27 02:18:02 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 900 | 2025-09-25 11:51:38 | plot | 2 | 29872 | 232 | 0.860 | 34734.9 |
| 899 | 2025-09-25 09:50:55 | plot | 1 | 13983 | 15 | 0.940 | 14875.5 |
| 898 | 2025-09-25 09:50:52 | plot | 1 | 13983 | 15 | 1.126 | 12418.3 |
| 897 | 2025-09-25 09:50:47 | plot | 1 | 13983 | 15 | 0.796 | 17566.6 |
| 896 | 2025-09-25 09:50:43 | plot | 1 | 13983 | 15 | 1.843 | 7587.1 |
| 895 | 2025-09-23 23:30:58 | plot | 2 | 29872 | 232 | 1.656 | 18038.6 |
| 894 | 2025-09-19 10:05:24 | plot | 1 | 13983 | 15 | 0.220 | 63559.1 |
| 893 | 2025-09-13 01:33:20 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 892 | 2025-09-11 23:12:14 | plot | 1 | 13983 | 15 | 0.263 | 53167.3 |
| 891 | 2025-09-08 21:26:52 | plot | 2 | 29872 | 232 | 0.860 | 34734.9 |
| 890 | 2025-09-08 15:47:52 | plot | 2 | 29872 | 232 | 1.860 | 16060.2 |
| 889 | 2025-09-08 02:36:43 | plot | 2 | 29872 | 232 | 0.860 | 34734.9 |
| 888 | 2025-09-04 17:27:28 | plot | 1 | 13983 | 15 | 0.216 | 64736.1 |
| 887 | 2025-09-01 05:48:56 | plot | 1 | 13983 | 15 | 0.233 | 60012.9 |
| 886 | 2025-08-29 00:48:29 | plot | 1 | 13983 | 15 | 0.266 | 52567.7 |
| 885 | 2025-08-27 01:25:00 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 884 | 2025-08-17 15:16:07 | plot | 1 | 13983 | 15 | 0.656 | 21315.5 |
| 883 | 2025-08-05 05:40:42 | plot | 1 | 13983 | 15 | 0.626 | 22337.1 |
| 882 | 2025-08-04 11:02:25 | plot | 1 | 13983 | 15 | 0.576 | 24276.0 |
| 881 | 2025-08-01 14:25:48 | plot | 1 | 13983 | 15 | 0.453 | 30867.5 |
| 880 | 2025-07-31 11:26:59 | plot | 1 | 13983 | 15 | 0.250 | 55932.0 |
| 879 | 2025-07-28 23:19:15 | plot | 2 | 29872 | 232 | 2.376 | 12572.4 |
| 878 | 2025-07-28 06:26:52 | plot | 2 | 29872 | 232 | 2.203 | 13559.7 |
| 877 | 2025-07-27 01:55:37 | plot | 1 | 13983 | 15 | 1.156 | 12096.0 |
| 876 | 2025-07-26 06:04:18 | plot | 2 | 29872 | 232 | 1.983 | 15064.0 |
| 875 | 2025-07-24 14:05:52 | plot | 1 | 13983 | 15 | 0.280 | 49939.3 |
| 874 | 2025-07-24 11:50:50 | plot | 2 | 29872 | 232 | 8.033 | 3718.7 |